# Notes on Math and Gerrymandering

DevFeed: [Notes on Math and Gerrymandering](<https://devfeed.tech/articles/notes-on-math-and-gerrymandering-40415.md>)

Original publisher: [Read original article](<https://www.jeremykun.com/2017/08/14/notes-on-math-and-gerrymandering/>)

Published: 2017-08-14T08:00:40Z

Content type: opinion

Language: en

Sources: [Jeremy Kun](<https://devfeed.tech/sources/jeremy-kun.md>)

Topics: [math](<https://devfeed.tech/topics/math.md>)

Tags: [gerrymandering](<https://devfeed.tech/tags/gerrymandering.md>), [legal](<https://devfeed.tech/tags/legal.md>), [math](<https://devfeed.tech/tags/math.md>), [policy](<https://devfeed.tech/tags/policy.md>), [research](<https://devfeed.tech/tags/research.md>), [us](<https://devfeed.tech/tags/us.md>)

## AI overview

The article distills ideas from the Geometry of Redistricting workshop about how mathematics might help address partisan gerrymandering. It emphasizes the need to account for legal, political, and local factors, and notes that many obvious approaches have already been tried or rejected.

## Source excerpt

Last week I was in Boston for the Geometry of Redistricting workshop. It was an optimistic gathering of over 500 mathematicians, computer scientists, lawyers, policy makers, teachers, and interested people of all stripes. There was a ton of information in the talks and subsequent discussions. I'll try to distill the main ideas and avenues for research as best I can. Unfortunately, due to how preliminary most of the technical work is, I won't be presenting any concrete code or algorithms.